Skip to content
TrustedSkillsbeta
Back to all skills

Ocr Super Surya

Checked
aktsmm·vlatest·ai-ml

OCR Super Surya extracts text from images and PDFs quickly & accurately, boosting data processing efficiency for various tasks.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add aktsmm/agent-skills --skill ocr-super-surya -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

aktsmm

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned aktsmm/agent-skills at 15b3494fa4.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
15b3494fa4
Manifest
ocr-super-surya/SKILL.md
Scanned
3 files, 484 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The ocr-super-surya skill performs Optical Character Recognition (OCR) on images. It can extract text from scanned documents, photographs of signs, and other image formats containing text. The extracted text is then returned as a string, allowing for further processing or analysis by the AI agent.

When to use it

  • Extracting information from receipts or invoices when digital copies are unavailable.
  • Transcribing text from images of handwritten notes or documents.
  • Retrieving data from signs or labels in photographs taken during fieldwork.
  • Populating databases with information found on printed materials.
  • Converting image-based menus into a machine-readable format.

Key capabilities

  • OCR processing of images
  • Text extraction from various image formats
  • Returns extracted text as a string

Example prompts

  • "Extract the text from this image: [image URL]"
  • "Can you read the text in this photo? [image URL]"
  • "What does this sign say? [image URL]"

Tips & gotchas

The quality of OCR results depends heavily on the clarity and resolution of the input image. Ensure images are well-lit, have minimal distortion, and contain clear, legible characters for optimal performance.